Photovoltaic power generation system maximum power tracking method based on model identification

Abstract

The invention discloses a photovoltaic power generation system maximum power tracking method based on model identification. The method comprises the steps that firstly, parameter identification is conducted on a photovoltaic array reference mathematic model by adopting measurement information of a practical photovoltaic power generation system, and an identification model consistent with the practical object is obtained; secondly, a BP neural network is constructed, a series of output voltage and output current test data of the model under different illumination intensities and photovoltaic cell panel temperatures is generated by adopting the identification model, information such as output voltage and output power corresponding to the illumination intensities, the photovoltaic cell panel temperatures and the maximum power points is extracted to be used for training the BP neural network, and parameters of the BP neural network are obtained; finally, the trained BP neural network is used for maximum power tracking of the photovoltaic power generation system on line, and therefore the real-time property and the high efficiency of photovoltaic power generation system maximum power tracking are greatly improved. According to the method, the principle is easily implemented on line, and the flexibility is good.

Description

technical field [0001] The invention belongs to the technical field of new energy electric power and power supply, and in particular relates to a method for tracking maximum power of a photovoltaic power generation system based on model identification. Background technique [0002] New energy, especially the application of photovoltaics, has been valued and supported by governments around the world, and the popularization and application of the photovoltaic industry has been vigorously promoted. With the deepening of application and the development of technology, experts from all over the world are converging on the application mode and technical direction of new energy power, especially photovoltaic power generation. [0003] The cost and efficiency of photovoltaic power generation have always been the key common issues in the promotion and application of the photovoltaic industry. The core points to overcome mainly involve two links, namely the photoelectric conversion rat...

AI Technical Summary

Problems solved by technology

There are defects of oscillation and misjudgment when performing photovoltaic maximum power tracking, resulting in a certain power loss, and when the intensity of sunlight and ambient temperature change sharply, it may lead to tracking failure

The existence of these problems affects the real-time and high efficiency of maximum power tracking of photovoltaic power generation system

If the output power cannot track the maximum power point, it may lead to serious consequences, and even cause the photovoltaic power generation system to fail to operate normally, resulting in huge economic losses and energy waste

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